Real Subband Signal Weighting With Alias Correction
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Solution Overview
Problem
Critical sampling in filter banks leads to aliasing artifacts when amplification factors for neighboring subbands differ, causing audible interferences, and existing solutions either introduce complexity or require long filters, which are computationally expensive and delay-prone.
Innovation Solution
Divide subband filtering into a weighted normal portion and a correction portion, where the correction portion is calculated based on another subband's weighting factor, allowing for shorter filters and reduced aliasing without back-and-forth filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If critical sampling is used in filter banks, then decimation ratio is maximized and computational efficiency is improved, but aliasing artifacts occur when amplification factors for neighboring subbands differ
Solution Approach 1:
The filtering operation is segmented into two distinct parts: a normal filtering portion and a correction portion. The normal portion performs standard subband filtering, while the correction portion specifically addresses aliasing artifacts by processing differences in amplification factors between neighboring subbands. This segmentation allows the system to maintain critical sampling for efficiency while eliminating aliasing through targeted correction.
Solution Approach 2:
The aliasing correction is extracted as a separate processing step from the main filtering operation. By identifying and isolating the aliasing components generated by differential amplification of neighboring subbands, the patent applies correction specifically to these extracted artifacts rather than processing the entire signal through long anti-aliasing filters.
2Object-generated harmful factors
If long filters are used to reduce aliasing, then aliasing artifacts are suppressed, but computational complexity and processing delay increase
Solution Approach 1:
The filtering operation is segmented into two distinct parts: a normal filtering portion and a correction portion. The normal portion performs standard subband filtering, while the correction portion specifically addresses aliasing artifacts by processing differences in amplification factors between neighboring subbands. This segmentation allows the system to maintain critical sampling for efficiency while eliminating aliasing through targeted correction.
Solution Approach 2:
The patent changes the approach from using long filters with many coefficients to using short filters combined with a correction term that accounts for amplification factor differences. By parameterizing the correction based on the difference between neighboring subband amplification factors, the system achieves aliasing suppression with significantly reduced filter length and computational complexity.
3Object-generated harmful factors
If long filters are used to reduce aliasing, then aliasing artifacts are suppressed, but processing time and energy consumption increase
Solution Approach 1:
The filtering operation is segmented into two distinct parts: a normal filtering portion and a correction portion. The normal portion performs standard subband filtering, while the correction portion specifically addresses aliasing artifacts by processing differences in amplification factors between neighboring subbands. This segmentation allows the system to maintain critical sampling for efficiency while eliminating aliasing through targeted correction.
Solution Approach 2:
The patent replaces expensive long filters with cheap short filters combined with a simple correction mechanism. The correction portion uses minimal computational resources by only processing the difference in amplification factors between neighboring subbands, making it a computationally inexpensive solution that effectively suppresses aliasing artifacts.
4Adaptability or versatility
If amplification factors for neighboring subbands differ, then frequency-selective signal manipulation is achieved, but aliasing artifacts are generated
Solution Approach 1:
The patent applies local quality by treating each subband differently based on its specific amplification factor. The correction portion specifically addresses the local issue of aliasing generated at the boundaries between subbands with different amplification factors. By applying correction locally at each subband boundary rather than globally, the system maintains frequency-selective manipulation capability while suppressing aliasing artifacts.
Data Source
Figure 1~2
Figure 3A~3B
Figure 3C~3D
AI summary
In order to process a subband signal of a plurality of real subband signals which are a representation of a real discrete-time signal generated by an analysis filter bank, a weighter (10) for weighting a subband signal by a weighting factor determined for the subband signal is provided to obtain a weighted subband signal (11). In addition, a correction term is calculated by a correction term determiner (12), the correction term determiner being implemented to calculate the correction term using at least one other subband signal and using another weighting factor provided for the other subband signal, the two weighting factors differing. The correction term is then combined with the weighted subband signal to obtain a corrected subband signal, resulting in reduced aliasing, even if subband signals are weighted to a different extent.